Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 3390 |
| Missing cells | 510 |
| Missing cells (%) | 0.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 450.4 KiB |
| Average record size in memory | 136.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 7 |
| Boolean | 1 |
cigsPerDay is highly overall correlated with is_smoking | High correlation |
sysBP is highly overall correlated with diaBP and 1 other fields | High correlation |
diaBP is highly overall correlated with sysBP and 1 other fields | High correlation |
glucose is highly overall correlated with diabetes | High correlation |
is_smoking is highly overall correlated with cigsPerDay | High correlation |
prevalentHyp is highly overall correlated with sysBP and 1 other fields | High correlation |
diabetes is highly overall correlated with glucose | High correlation |
BPMeds is highly imbalanced (80.6%) | Imbalance |
prevalentStroke is highly imbalanced (94.4%) | Imbalance |
diabetes is highly imbalanced (82.8%) | Imbalance |
education has 87 (2.6%) missing values | Missing |
BPMeds has 44 (1.3%) missing values | Missing |
totChol has 38 (1.1%) missing values | Missing |
glucose has 304 (9.0%) missing values | Missing |
id is uniformly distributed | Uniform |
id has unique values | Unique |
cigsPerDay has 1703 (50.2%) zeros | Zeros |
Reproduction
| Analysis started | 2024-02-10 02:21:22.666376 |
|---|---|
| Analysis finished | 2024-02-10 02:21:26.959235 |
| Duration | 4.29 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
id
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 3390 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1694.5 |
| Minimum | 0 |
|---|---|
| Maximum | 3389 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 169.45 |
| Q1 | 847.25 |
| median | 1694.5 |
| Q3 | 2541.75 |
| 95-th percentile | 3219.55 |
| Maximum | 3389 |
| Range | 3389 |
| Interquartile range (IQR) | 1694.5 |
Descriptive statistics
| Standard deviation | 978.75303 |
|---|---|
| Coefficient of variation (CV) | 0.5776058 |
| Kurtosis | -1.2 |
| Mean | 1694.5 |
| Median Absolute Deviation (MAD) | 847.5 |
| Skewness | 0 |
| Sum | 5744355 |
| Variance | 957957.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 2277 | 1 | < 0.1% |
| 2253 | 1 | < 0.1% |
| 2254 | 1 | < 0.1% |
| 2255 | 1 | < 0.1% |
| 2256 | 1 | < 0.1% |
| 2257 | 1 | < 0.1% |
| 2258 | 1 | < 0.1% |
| 2259 | 1 | < 0.1% |
| 2260 | 1 | < 0.1% |
| Other values (3380) | 3380 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 3389 | 1 | |
| 3388 | 1 | |
| 3387 | 1 | |
| 3386 | 1 | |
| 3385 | 1 | |
| 3384 | 1 | |
| 3383 | 1 | |
| 3382 | 1 | |
| 3381 | 1 | |
| 3380 | 1 |
age
Real number (ℝ)
| Distinct | 39 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.542183 |
| Minimum | 32 |
|---|---|
| Maximum | 70 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 32 |
|---|---|
| 5-th percentile | 37 |
| Q1 | 42 |
| median | 49 |
| Q3 | 56 |
| 95-th percentile | 64 |
| Maximum | 70 |
| Range | 38 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 8.5928781 |
|---|---|
| Coefficient of variation (CV) | 0.17344569 |
| Kurtosis | -1.0048019 |
| Mean | 49.542183 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.22579588 |
| Sum | 167948 |
| Variance | 73.837553 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=39)
| Value | Count | Frequency (%) |
| 40 | 148 | 4.4% |
| 42 | 145 | 4.3% |
| 41 | 144 | 4.2% |
| 46 | 140 | 4.1% |
| 39 | 139 | 4.1% |
| 44 | 135 | 4.0% |
| 48 | 134 | 4.0% |
| 45 | 131 | 3.9% |
| 43 | 127 | 3.7% |
| 38 | 119 | 3.5% |
| Other values (29) | 2028 |
| Value | Count | Frequency (%) |
| 32 | 1 | < 0.1% |
| 33 | 4 | 0.1% |
| 34 | 16 | 0.5% |
| 35 | 29 | 0.9% |
| 36 | 75 | |
| 37 | 73 | |
| 38 | 119 | |
| 39 | 139 | |
| 40 | 148 | |
| 41 | 144 |
| Value | Count | Frequency (%) |
| 70 | 2 | 0.1% |
| 69 | 5 | 0.1% |
| 68 | 14 | 0.4% |
| 67 | 33 | 1.0% |
| 66 | 30 | 0.9% |
| 65 | 43 | |
| 64 | 75 | |
| 63 | 93 | |
| 62 | 80 | |
| 61 | 87 |
education
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 87 |
| Missing (%) | 2.6% |
| Memory size | 26.6 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | |
| 4.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9909 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 4.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1391 | |
| 2.0 | 990 | |
| 3.0 | 549 | 16.2% |
| 4.0 | 373 | 11.0% |
| (Missing) | 87 | 2.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 1391 | |
| 2.0 | 990 | |
| 3.0 | 549 | 16.6% |
| 4.0 | 373 | 11.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3303 | |
| 0 | 3303 | |
| 1 | 1391 | |
| 2 | 990 | 10.0% |
| 3 | 549 | 5.5% |
| 4 | 373 | 3.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6606 | |
| Other Punctuation | 3303 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 1391 | |
| 2 | 990 | 15.0% |
| 3 | 549 | 8.3% |
| 4 | 373 | 5.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3303 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9909 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 3303 | |
| 0 | 3303 | |
| 1 | 1391 | |
| 2 | 990 | 10.0% |
| 3 | 549 | 5.5% |
| 4 | 373 | 3.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9909 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 3303 | |
| 0 | 3303 | |
| 1 | 1391 | |
| 2 | 990 | 10.0% |
| 3 | 549 | 5.5% |
| 4 | 373 | 3.8% |
sex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.6 KiB |
| F | |
|---|---|
| M |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3390 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | F |
|---|---|
| 2nd row | M |
| 3rd row | F |
| 4th row | M |
| 5th row | F |
Common Values
| Value | Count | Frequency (%) |
| F | 1923 | |
| M | 1467 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| f | 1923 | |
| m | 1467 |
Most occurring characters
| Value | Count | Frequency (%) |
| F | 1923 | |
| M | 1467 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 3390 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 1923 | |
| M | 1467 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3390 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| F | 1923 | |
| M | 1467 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3390 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| F | 1923 | |
| M | 1467 |
is_smoking
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.4 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 1703 | |
| True | 1687 |
cigsPerDay
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 32 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 22 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.0694774 |
| Minimum | 0 |
|---|---|
| Maximum | 70 |
| Zeros | 1703 |
| Zeros (%) | 50.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 20 |
| 95-th percentile | 30 |
| Maximum | 70 |
| Range | 70 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 11.879078 |
|---|---|
| Coefficient of variation (CV) | 1.3097863 |
| Kurtosis | 0.97552913 |
| Mean | 9.0694774 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.2230054 |
| Sum | 30546 |
| Variance | 141.11249 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 20 | 606 | 17.9% |
| 30 | 176 | 5.2% |
| 15 | 172 | 5.1% |
| 10 | 106 | 3.1% |
| 9 | 104 | 3.1% |
| 5 | 103 | 3.0% |
| 3 | 79 | 2.3% |
| 40 | 62 | 1.8% |
| 1 | 48 | 1.4% |
| Other values (22) | 209 | 6.2% |
| Value | Count | Frequency (%) |
| 0 | 1703 | |
| 1 | 48 | 1.4% |
| 2 | 17 | 0.5% |
| 3 | 79 | 2.3% |
| 4 | 7 | 0.2% |
| 5 | 103 | 3.0% |
| 6 | 14 | 0.4% |
| 7 | 8 | 0.2% |
| 8 | 10 | 0.3% |
| 9 | 104 | 3.1% |
| Value | Count | Frequency (%) |
| 70 | 1 | < 0.1% |
| 60 | 8 | 0.2% |
| 50 | 6 | 0.2% |
| 45 | 2 | 0.1% |
| 43 | 42 | 1.2% |
| 40 | 62 | 1.8% |
| 38 | 1 | < 0.1% |
| 35 | 17 | 0.5% |
| 30 | 176 | |
| 25 | 44 | 1.3% |
BPMeds
Categorical
IMBALANCE MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 44 |
| Missing (%) | 1.3% |
| Memory size | 26.6 KiB |
| 0.0 | |
|---|---|
| 1.0 | 100 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 10038 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 3246 | |
| 1.0 | 100 | 2.9% |
| (Missing) | 44 | 1.3% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 3246 | |
| 1.0 | 100 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 6592 | |
| . | 3346 | |
| 1 | 100 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6692 | |
| Other Punctuation | 3346 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 6592 | |
| 1 | 100 | 1.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 3346 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10038 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 6592 | |
| . | 3346 | |
| 1 | 100 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10038 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 6592 | |
| . | 3346 | |
| 1 | 100 | 1.0% |
prevalentStroke
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.6 KiB |
| 0 | |
|---|---|
| 1 | 22 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3390 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3390 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3390 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3390 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3368 | |
| 1 | 22 | 0.6% |
prevalentHyp
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3390 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3390 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3390 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3390 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2321 | |
| 1 | 1069 |
diabetes
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.6 KiB |
| 0 | |
|---|---|
| 1 | 87 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3390 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3390 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3390 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3390 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3303 | |
| 1 | 87 | 2.6% |
totChol
Real number (ℝ)
| Distinct | 240 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 38 |
| Missing (%) | 1.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 237.07428 |
| Minimum | 107 |
|---|---|
| Maximum | 696 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 107 |
|---|---|
| 5-th percentile | 169 |
| Q1 | 206 |
| median | 234 |
| Q3 | 264 |
| 95-th percentile | 313.45 |
| Maximum | 696 |
| Range | 589 |
| Interquartile range (IQR) | 58 |
Descriptive statistics
| Standard deviation | 45.24743 |
|---|---|
| Coefficient of variation (CV) | 0.1908576 |
| Kurtosis | 4.7813217 |
| Mean | 237.07428 |
| Median Absolute Deviation (MAD) | 29 |
| Skewness | 0.9406357 |
| Sum | 794673 |
| Variance | 2047.3299 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 240 | 65 | 1.9% |
| 210 | 51 | 1.5% |
| 220 | 48 | 1.4% |
| 260 | 46 | 1.4% |
| 232 | 45 | 1.3% |
| 230 | 43 | 1.3% |
| 225 | 42 | 1.2% |
| 250 | 41 | 1.2% |
| 200 | 41 | 1.2% |
| 270 | 40 | 1.2% |
| Other values (230) | 2890 |
| Value | Count | Frequency (%) |
| 107 | 1 | |
| 113 | 1 | |
| 119 | 1 | |
| 124 | 1 | |
| 126 | 1 | |
| 129 | 1 | |
| 133 | 1 | |
| 135 | 2 | |
| 137 | 1 | |
| 140 | 1 |
| Value | Count | Frequency (%) |
| 696 | 1 | < 0.1% |
| 600 | 1 | < 0.1% |
| 464 | 1 | < 0.1% |
| 453 | 1 | < 0.1% |
| 439 | 1 | < 0.1% |
| 432 | 1 | < 0.1% |
| 410 | 3 | |
| 398 | 1 | < 0.1% |
| 392 | 1 | < 0.1% |
| 391 | 2 |
sysBP
Real number (ℝ)
| Distinct | 226 |
|---|---|
| Distinct (%) | 6.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 132.60118 |
| Minimum | 83.5 |
|---|---|
| Maximum | 295 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 83.5 |
|---|---|
| 5-th percentile | 104 |
| Q1 | 117 |
| median | 128.5 |
| Q3 | 144 |
| 95-th percentile | 175.275 |
| Maximum | 295 |
| Range | 211.5 |
| Interquartile range (IQR) | 27 |
Descriptive statistics
| Standard deviation | 22.29203 |
|---|---|
| Coefficient of variation (CV) | 0.16811336 |
| Kurtosis | 2.3659225 |
| Mean | 132.60118 |
| Median Absolute Deviation (MAD) | 13.5 |
| Skewness | 1.1758367 |
| Sum | 449518 |
| Variance | 496.93458 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 110 | 87 | 2.6% |
| 120 | 85 | 2.5% |
| 130 | 85 | 2.5% |
| 125 | 69 | 2.0% |
| 115 | 68 | 2.0% |
| 124 | 63 | 1.9% |
| 135 | 61 | 1.8% |
| 128 | 61 | 1.8% |
| 126 | 59 | 1.7% |
| 122 | 58 | 1.7% |
| Other values (216) | 2694 |
| Value | Count | Frequency (%) |
| 83.5 | 2 | 0.1% |
| 85 | 1 | < 0.1% |
| 85.5 | 1 | < 0.1% |
| 90 | 2 | 0.1% |
| 92.5 | 1 | < 0.1% |
| 93 | 2 | 0.1% |
| 93.5 | 2 | 0.1% |
| 94 | 2 | 0.1% |
| 95 | 5 | |
| 95.5 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 295 | 1 | < 0.1% |
| 248 | 1 | < 0.1% |
| 244 | 1 | < 0.1% |
| 243 | 1 | < 0.1% |
| 235 | 1 | < 0.1% |
| 232 | 1 | < 0.1% |
| 230 | 1 | < 0.1% |
| 220 | 2 | |
| 217 | 1 | < 0.1% |
| 215 | 3 |
diaBP
Real number (ℝ)
| Distinct | 142 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.883038 |
| Minimum | 48 |
|---|---|
| Maximum | 142.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 48 |
|---|---|
| 5-th percentile | 66 |
| Q1 | 74.5 |
| median | 82 |
| Q3 | 90 |
| 95-th percentile | 105 |
| Maximum | 142.5 |
| Range | 94.5 |
| Interquartile range (IQR) | 15.5 |
Descriptive statistics
| Standard deviation | 12.023581 |
|---|---|
| Coefficient of variation (CV) | 0.14506685 |
| Kurtosis | 1.273995 |
| Mean | 82.883038 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.71817267 |
| Sum | 280973.5 |
| Variance | 144.5665 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80 | 213 | 6.3% |
| 82 | 123 | 3.6% |
| 70 | 109 | 3.2% |
| 85 | 107 | 3.2% |
| 90 | 100 | 2.9% |
| 87 | 96 | 2.8% |
| 81 | 94 | 2.8% |
| 84 | 94 | 2.8% |
| 75 | 90 | 2.7% |
| 78 | 89 | 2.6% |
| Other values (132) | 2275 |
| Value | Count | Frequency (%) |
| 48 | 1 | < 0.1% |
| 50 | 1 | < 0.1% |
| 51 | 1 | < 0.1% |
| 52 | 2 | 0.1% |
| 53 | 1 | < 0.1% |
| 54 | 1 | < 0.1% |
| 55 | 2 | 0.1% |
| 56 | 2 | 0.1% |
| 57 | 5 | |
| 57.5 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 142.5 | 1 | < 0.1% |
| 136 | 2 | 0.1% |
| 135 | 2 | 0.1% |
| 133 | 2 | 0.1% |
| 130 | 5 | |
| 129 | 1 | < 0.1% |
| 128 | 1 | < 0.1% |
| 127.5 | 1 | < 0.1% |
| 125 | 3 | |
| 124.5 | 1 | < 0.1% |
BMI
Real number (ℝ)
| Distinct | 1259 |
|---|---|
| Distinct (%) | 37.3% |
| Missing | 14 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.794964 |
| Minimum | 15.96 |
|---|---|
| Maximum | 56.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 15.96 |
|---|---|
| 5-th percentile | 20.06 |
| Q1 | 23.02 |
| median | 25.38 |
| Q3 | 28.04 |
| 95-th percentile | 32.8525 |
| Maximum | 56.8 |
| Range | 40.84 |
| Interquartile range (IQR) | 5.02 |
Descriptive statistics
| Standard deviation | 4.1154488 |
|---|---|
| Coefficient of variation (CV) | 0.15954466 |
| Kurtosis | 2.8346067 |
| Mean | 25.794964 |
| Median Absolute Deviation (MAD) | 2.49 |
| Skewness | 1.022252 |
| Sum | 87083.8 |
| Variance | 16.936918 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 22.91 | 17 | 0.5% |
| 22.54 | 16 | 0.5% |
| 22.19 | 15 | 0.4% |
| 23.48 | 12 | 0.4% |
| 25.09 | 12 | 0.4% |
| 23.1 | 11 | 0.3% |
| 24.56 | 11 | 0.3% |
| 23.09 | 11 | 0.3% |
| 22.73 | 11 | 0.3% |
| 25.94 | 11 | 0.3% |
| Other values (1249) | 3249 | |
| (Missing) | 14 | 0.4% |
| Value | Count | Frequency (%) |
| 15.96 | 1 | |
| 16.48 | 1 | |
| 16.59 | 1 | |
| 16.61 | 1 | |
| 16.69 | 1 | |
| 16.71 | 1 | |
| 16.73 | 1 | |
| 16.75 | 1 | |
| 16.92 | 1 | |
| 16.98 | 1 |
| Value | Count | Frequency (%) |
| 56.8 | 1 | |
| 51.28 | 1 | |
| 45.8 | 1 | |
| 45.79 | 1 | |
| 44.71 | 1 | |
| 44.55 | 1 | |
| 44.27 | 1 | |
| 44.09 | 1 | |
| 43.69 | 1 | |
| 43.67 | 1 |
heartRate
Real number (ℝ)
| Distinct | 68 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75.977279 |
| Minimum | 45 |
|---|---|
| Maximum | 143 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 45 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 68 |
| median | 75 |
| Q3 | 83 |
| 95-th percentile | 98 |
| Maximum | 143 |
| Range | 98 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 11.971868 |
|---|---|
| Coefficient of variation (CV) | 0.15757169 |
| Kurtosis | 0.9796436 |
| Mean | 75.977279 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.67648972 |
| Sum | 257487 |
| Variance | 143.32563 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75 | 442 | 13.0% |
| 80 | 298 | 8.8% |
| 70 | 241 | 7.1% |
| 85 | 191 | 5.6% |
| 72 | 184 | 5.4% |
| 60 | 183 | 5.4% |
| 65 | 152 | 4.5% |
| 90 | 143 | 4.2% |
| 68 | 133 | 3.9% |
| 63 | 76 | 2.2% |
| Other values (58) | 1346 |
| Value | Count | Frequency (%) |
| 45 | 1 | < 0.1% |
| 47 | 1 | < 0.1% |
| 48 | 4 | 0.1% |
| 50 | 15 | |
| 51 | 1 | < 0.1% |
| 52 | 12 | |
| 53 | 8 | 0.2% |
| 54 | 10 | 0.3% |
| 55 | 25 | |
| 56 | 17 |
| Value | Count | Frequency (%) |
| 143 | 1 | < 0.1% |
| 140 | 1 | < 0.1% |
| 125 | 3 | 0.1% |
| 122 | 2 | 0.1% |
| 120 | 5 | 0.1% |
| 115 | 4 | 0.1% |
| 112 | 3 | 0.1% |
| 110 | 33 | |
| 108 | 7 | 0.2% |
| 107 | 2 | 0.1% |
glucose
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 132 |
|---|---|
| Distinct (%) | 4.3% |
| Missing | 304 |
| Missing (%) | 9.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.08652 |
| Minimum | 40 |
|---|---|
| Maximum | 394 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.6 KiB |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 62 |
| Q1 | 71 |
| median | 78 |
| Q3 | 87 |
| 95-th percentile | 110 |
| Maximum | 394 |
| Range | 354 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 24.244753 |
|---|---|
| Coefficient of variation (CV) | 0.29535609 |
| Kurtosis | 57.356963 |
| Mean | 82.08652 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 6.1443897 |
| Sum | 253319 |
| Variance | 587.80807 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75 | 149 | 4.4% |
| 83 | 135 | 4.0% |
| 70 | 123 | 3.6% |
| 77 | 122 | 3.6% |
| 80 | 118 | 3.5% |
| 78 | 117 | 3.5% |
| 73 | 116 | 3.4% |
| 74 | 114 | 3.4% |
| 85 | 112 | 3.3% |
| 76 | 104 | 3.1% |
| Other values (122) | 1876 | |
| (Missing) | 304 | 9.0% |
| Value | Count | Frequency (%) |
| 40 | 1 | < 0.1% |
| 43 | 1 | < 0.1% |
| 44 | 2 | 0.1% |
| 45 | 3 | |
| 47 | 2 | 0.1% |
| 48 | 1 | < 0.1% |
| 50 | 2 | 0.1% |
| 52 | 2 | 0.1% |
| 53 | 5 | |
| 54 | 3 |
| Value | Count | Frequency (%) |
| 394 | 2 | |
| 386 | 1 | |
| 368 | 1 | |
| 348 | 1 | |
| 332 | 1 | |
| 320 | 1 | |
| 297 | 1 | |
| 294 | 1 | |
| 274 | 1 | |
| 270 | 1 |
TenYearCHD
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 3390 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3390 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3390 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3390 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2879 | |
| 1 | 511 | 15.1% |
| id | age | cigsPerDay | totChol | sysBP | diaBP | BMI | heartRate | glucose | education | sex | is_smoking | BPMeds | prevalentStroke | prevalentHyp | diabetes | TenYearCHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| id | 1.000 | 0.015 | -0.008 | -0.014 | 0.019 | -0.004 | 0.040 | 0.019 | 0.024 | 0.033 | 0.000 | 0.018 | 0.015 | 0.016 | 0.041 | 0.000 | 0.000 |
| age | 0.015 | 1.000 | -0.212 | 0.303 | 0.404 | 0.220 | 0.147 | -0.005 | 0.111 | 0.148 | 0.018 | 0.222 | 0.134 | 0.050 | 0.301 | 0.100 | 0.219 |
| cigsPerDay | -0.008 | -0.212 | 1.000 | -0.038 | -0.129 | -0.104 | -0.145 | 0.076 | -0.097 | 0.042 | 0.341 | 0.846 | 0.000 | 0.000 | 0.115 | 0.029 | 0.058 |
| totChol | -0.014 | 0.303 | -0.038 | 1.000 | 0.220 | 0.180 | 0.153 | 0.082 | 0.036 | 0.018 | 0.077 | 0.052 | 0.078 | 0.000 | 0.154 | 0.107 | 0.088 |
| sysBP | 0.019 | 0.404 | -0.129 | 0.220 | 1.000 | 0.773 | 0.332 | 0.166 | 0.116 | 0.078 | 0.103 | 0.137 | 0.301 | 0.049 | 0.715 | 0.138 | 0.210 |
| diaBP | -0.004 | 0.220 | -0.104 | 0.180 | 0.773 | 1.000 | 0.379 | 0.173 | 0.051 | 0.050 | 0.074 | 0.122 | 0.225 | 0.047 | 0.639 | 0.053 | 0.147 |
| BMI | 0.040 | 0.147 | -0.145 | 0.153 | 0.332 | 0.379 | 1.000 | 0.063 | 0.073 | 0.086 | 0.209 | 0.164 | 0.121 | 0.223 | 0.293 | 0.106 | 0.078 |
| heartRate | 0.019 | -0.005 | 0.076 | 0.082 | 0.166 | 0.173 | 0.063 | 1.000 | 0.095 | 0.030 | 0.121 | 0.070 | 0.091 | 0.000 | 0.150 | 0.034 | 0.000 |
| glucose | 0.024 | 0.111 | -0.097 | 0.036 | 0.116 | 0.051 | 0.073 | 0.095 | 1.000 | 0.030 | 0.027 | 0.079 | 0.114 | 0.041 | 0.073 | 0.740 | 0.138 |
| education | 0.033 | 0.148 | 0.042 | 0.018 | 0.078 | 0.050 | 0.086 | 0.030 | 0.030 | 1.000 | 0.139 | 0.062 | 0.000 | 0.019 | 0.088 | 0.057 | 0.076 |
| sex | 0.000 | 0.018 | 0.341 | 0.077 | 0.103 | 0.074 | 0.209 | 0.121 | 0.027 | 0.139 | 1.000 | 0.214 | 0.039 | 0.000 | 0.000 | 0.000 | 0.082 |
| is_smoking | 0.018 | 0.222 | 0.846 | 0.052 | 0.137 | 0.122 | 0.164 | 0.070 | 0.079 | 0.062 | 0.214 | 1.000 | 0.032 | 0.036 | 0.117 | 0.049 | 0.029 |
| BPMeds | 0.015 | 0.134 | 0.000 | 0.078 | 0.301 | 0.225 | 0.121 | 0.091 | 0.114 | 0.000 | 0.039 | 0.032 | 1.000 | 0.107 | 0.257 | 0.063 | 0.084 |
| prevalentStroke | 0.016 | 0.050 | 0.000 | 0.000 | 0.049 | 0.047 | 0.223 | 0.000 | 0.041 | 0.019 | 0.000 | 0.036 | 0.107 | 1.000 | 0.065 | 0.000 | 0.061 |
| prevalentHyp | 0.041 | 0.301 | 0.115 | 0.154 | 0.715 | 0.639 | 0.293 | 0.150 | 0.073 | 0.088 | 0.000 | 0.117 | 0.257 | 0.065 | 1.000 | 0.079 | 0.165 |
| diabetes | 0.000 | 0.100 | 0.029 | 0.107 | 0.138 | 0.053 | 0.106 | 0.034 | 0.740 | 0.057 | 0.000 | 0.049 | 0.063 | 0.000 | 0.079 | 1.000 | 0.100 |
| TenYearCHD | 0.000 | 0.219 | 0.058 | 0.088 | 0.210 | 0.147 | 0.078 | 0.000 | 0.138 | 0.076 | 0.082 | 0.029 | 0.084 | 0.061 | 0.165 | 0.100 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| id | age | education | sex | is_smoking | cigsPerDay | BPMeds | prevalentStroke | prevalentHyp | diabetes | totChol | sysBP | diaBP | BMI | heartRate | glucose | TenYearCHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 64 | 2.0 | F | YES | 3.0 | 0.0 | 0 | 0 | 0 | 221.0 | 148.0 | 85.0 | NaN | 90.0 | 80.0 | 1 |
| 1 | 1 | 36 | 4.0 | M | NO | 0.0 | 0.0 | 0 | 1 | 0 | 212.0 | 168.0 | 98.0 | 29.77 | 72.0 | 75.0 | 0 |
| 2 | 2 | 46 | 1.0 | F | YES | 10.0 | 0.0 | 0 | 0 | 0 | 250.0 | 116.0 | 71.0 | 20.35 | 88.0 | 94.0 | 0 |
| 3 | 3 | 50 | 1.0 | M | YES | 20.0 | 0.0 | 0 | 1 | 0 | 233.0 | 158.0 | 88.0 | 28.26 | 68.0 | 94.0 | 1 |
| 4 | 4 | 64 | 1.0 | F | YES | 30.0 | 0.0 | 0 | 0 | 0 | 241.0 | 136.5 | 85.0 | 26.42 | 70.0 | 77.0 | 0 |
| 5 | 5 | 61 | 3.0 | F | NO | 0.0 | 0.0 | 0 | 1 | 0 | 272.0 | 182.0 | 121.0 | 32.80 | 85.0 | 65.0 | 1 |
| 6 | 6 | 61 | 1.0 | M | NO | 0.0 | 0.0 | 0 | 1 | 0 | 238.0 | 232.0 | 136.0 | 24.83 | 75.0 | 79.0 | 0 |
| 7 | 7 | 36 | 4.0 | M | YES | 35.0 | 0.0 | 0 | 0 | 0 | 295.0 | 102.0 | 68.0 | 28.15 | 60.0 | 63.0 | 0 |
| 8 | 8 | 41 | 2.0 | F | YES | 20.0 | NaN | 0 | 0 | 0 | 220.0 | 126.0 | 78.0 | 20.70 | 86.0 | 79.0 | 0 |
| 9 | 9 | 55 | 2.0 | F | NO | 0.0 | 0.0 | 0 | 1 | 0 | 326.0 | 144.0 | 81.0 | 25.71 | 85.0 | NaN | 0 |
| id | age | education | sex | is_smoking | cigsPerDay | BPMeds | prevalentStroke | prevalentHyp | diabetes | totChol | sysBP | diaBP | BMI | heartRate | glucose | TenYearCHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3380 | 3380 | 56 | 1.0 | F | YES | 20.0 | 0.0 | 0 | 0 | 0 | 240.0 | 125.0 | 79.0 | 27.38 | 80.0 | 82.0 | 0 |
| 3381 | 3381 | 63 | 1.0 | F | NO | 0.0 | 0.0 | 0 | 0 | 0 | 205.0 | 138.0 | 71.0 | 33.11 | 60.0 | 85.0 | 1 |
| 3382 | 3382 | 43 | 4.0 | M | NO | 0.0 | 0.0 | 0 | 1 | 0 | 260.0 | 129.0 | 90.0 | 25.29 | 70.0 | 62.0 | 0 |
| 3383 | 3383 | 57 | 3.0 | F | NO | 0.0 | 0.0 | 0 | 0 | 0 | 210.0 | 131.0 | 85.0 | 26.59 | 70.0 | 77.0 | 0 |
| 3384 | 3384 | 61 | 1.0 | F | NO | 0.0 | 0.0 | 0 | 1 | 0 | 217.0 | 182.0 | 86.0 | 26.98 | 105.0 | 113.0 | 0 |
| 3385 | 3385 | 60 | 1.0 | F | NO | 0.0 | 0.0 | 0 | 0 | 0 | 261.0 | 123.5 | 79.0 | 29.28 | 70.0 | 103.0 | 0 |
| 3386 | 3386 | 46 | 1.0 | F | NO | 0.0 | 0.0 | 0 | 0 | 0 | 199.0 | 102.0 | 56.0 | 21.96 | 80.0 | 84.0 | 0 |
| 3387 | 3387 | 44 | 3.0 | M | YES | 3.0 | 0.0 | 0 | 1 | 0 | 352.0 | 164.0 | 119.0 | 28.92 | 73.0 | 72.0 | 1 |
| 3388 | 3388 | 60 | 1.0 | M | NO | 0.0 | NaN | 0 | 1 | 0 | 191.0 | 167.0 | 105.0 | 23.01 | 80.0 | 85.0 | 0 |
| 3389 | 3389 | 54 | 3.0 | F | NO | 0.0 | 0.0 | 0 | 0 | 0 | 288.0 | 124.0 | 77.0 | 29.88 | 79.0 | 92.0 | 0 |